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Table 4 DeepMirTar dataset results

From: GraphTar: applying word2vec and graph neural networks to miRNA target prediction

Model name

Balanced ACC

Precision

Recall

DeepMirTar

0.815 (0.811–0.819)

0.817 (0.812–0.821)

0.815 (0.811–0.819)

miRAW

0.902 (0.898–0.907)

0.902 (0.897–0.908)

0.902 (0.898–0.907)

miTAR

0.927 (0.923–0.932)

0.928 (0.924–0.932)

0.927 (0.923–0.932)

GraphTarGCN

0.904 (0.899–0.909)

0.905 (0.899–0.91)

0.905 (0.899–0.91)

GraphTarGAT

0.922 (0.917–0.927)

0.923 (0.917–0.928)

0.922 (0.917–0.927)

GraphTarSAGE

0.915 (0.909–0.922)

0.916 (0.909–0.923)

0.915 (0.909–0.922)

  1. Metric scores are shown with corresponding 0.95 CIs